{"id":"https://openalex.org/W4210529407","doi":"https://doi.org/10.1109/tip.2022.3146640","title":"Evaluating Quantitative Metrics of Tone-Mapped Images","display_name":"Evaluating Quantitative Metrics of Tone-Mapped Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210529407","doi":"https://doi.org/10.1109/tip.2022.3146640","pmid":"https://pubmed.ncbi.nlm.nih.gov/35104219"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3146640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3146640","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013233350","display_name":"Ishtiaq Rasool Khan","orcid":"https://orcid.org/0000-0002-3887-9052"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ishtiaq Rasool Khan","raw_affiliation_strings":["University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-3887-9052","affiliations":[{"raw_affiliation_string":"University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044088957","display_name":"Theyab Alotaibi","orcid":"https://orcid.org/0000-0001-5525-4436"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Theyab A. Alotaibi","raw_affiliation_strings":["University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-5525-4436","affiliations":[{"raw_affiliation_string":"University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014165509","display_name":"Asif Siddiq","orcid":"https://orcid.org/0000-0002-4681-7767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asif Siddiq","raw_affiliation_strings":["Pakistan Institute of Engineering and Technology, Multan, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-4681-7767","affiliations":[{"raw_affiliation_string":"Pakistan Institute of Engineering and Technology, Multan, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020596336","display_name":"Farid Bourennani","orcid":"https://orcid.org/0000-0003-3100-1498"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Farid Bourennani","raw_affiliation_strings":["University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jeddah, College of Computer Science and Engineering, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5669,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61066531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"1751","last_page":"1760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8313117623329163},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7714289426803589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334147095680237},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6300863027572632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5848895311355591},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46603837609291077},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4386882185935974},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4331498146057129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40938544273376465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.407120943069458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.402235746383667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17383578419685364},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09281587600708008}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8313117623329163},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7714289426803589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334147095680237},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6300863027572632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5848895311355591},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46603837609291077},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4386882185935974},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4331498146057129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40938544273376465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.407120943069458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.402235746383667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17383578419685364},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09281587600708008},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3146640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3146640","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:35104219","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35104219","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5891046810","display_name":null,"funder_award_id":"UJ-20-DR-58","funder_id":"https://openalex.org/F4320329038","funder_display_name":"University of Jeddah"}],"funders":[{"id":"https://openalex.org/F4320329038","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1568014703","https://openalex.org/W1976478698","https://openalex.org/W1989590628","https://openalex.org/W2092305139","https://openalex.org/W2115405325","https://openalex.org/W2123462437","https://openalex.org/W2141983208","https://openalex.org/W2164716550","https://openalex.org/W2170288257","https://openalex.org/W2285151583","https://openalex.org/W2293876531","https://openalex.org/W2310612427","https://openalex.org/W2571611310","https://openalex.org/W2581944749","https://openalex.org/W2746556728","https://openalex.org/W2748587512","https://openalex.org/W2761269192","https://openalex.org/W2764044213","https://openalex.org/W2775530749","https://openalex.org/W2780450781","https://openalex.org/W2895783680","https://openalex.org/W2906729185","https://openalex.org/W2909014004","https://openalex.org/W2960513345","https://openalex.org/W2963777274","https://openalex.org/W2968534587","https://openalex.org/W2972296998","https://openalex.org/W2999388423","https://openalex.org/W3015598258","https://openalex.org/W3021578241","https://openalex.org/W3023338037","https://openalex.org/W3047279272","https://openalex.org/W4246565613","https://openalex.org/W6629356436","https://openalex.org/W6685119988"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600"],"abstract_inverted_index":{"Subjective":[0],"evaluation":[1,168],"of":[2,49,82,125,200],"tone-mapped":[3,111],"images":[4,112,177],"is":[5,11,34,106,117,130],"tedious":[6],"and":[7,22,57,137,175],"time-consuming;":[8],"therefore,":[9],"it":[10,58,116],"desirable":[12],"to":[13,55,78,108,120,178,183,195,211],"have":[14,25],"algorithms":[15],"for":[16,28,64,113,187],"automatic":[17],"quality":[18],"assessment.":[19],"Many":[20],"full-reference":[21],"blind":[23],"metrics":[24,84,149,174,181],"been":[26],"developed":[27],"this":[29,68],"purpose,":[30],"but":[31],"their":[32],"performance":[33,48,81,199],"generally":[35],"evaluated":[36,89,127,158,201],"on":[37],"limited":[38],"benchmark":[39],"datasets.":[40],"This":[41],"leaves":[42],"a":[43,72,134,193,204],"possibility":[44],"that":[45],"the":[46,50,80,98,103,122,126,152,166,180,197,213,216],"observed":[47],"metric":[51,144,209],"could":[52],"be":[53,139,156],"due":[54],"overfitting,":[56],"might":[59],"indeed":[60],"not":[61,96,118],"perform":[62],"well":[63],"all":[65],"scenes.":[66],"In":[67],"work,":[69],"we":[70],"propose":[71,192],"novel":[73],"framework":[74],"using":[75],"population-based":[76],"metaheuristics":[77],"evaluate":[79,171],"these":[83],"without":[85],"requiring":[86],"any":[87,142,147],"subjectively":[88],"reference":[90],"dataset.":[91],"The":[92],"proposed":[93,167],"algorithm":[94],"does":[95],"modify":[97],"individual":[99],"image":[100],"pixels,":[101],"instead,":[102],"tone-mapping":[104],"curve":[105],"modified":[107],"synthesize":[109,176],"realistic":[110],"evaluation.":[114],"Moreover,":[115],"required":[119],"know":[121],"underlying":[123],"model":[124],"metric,":[128],"which":[129,179,207],"treated":[131],"just":[132,162],"like":[133],"black":[135],"box":[136],"can":[138,154],"replaced":[140],"by":[141,159,219],"other":[143,220],"seamlessly.":[145],"Therefore,":[146],"new":[148],"designed":[150],"in":[151,165,206,215],"future":[153],"also":[155,191],"easily":[157],"simply":[160],"replacing":[161],"one":[163],"module":[164],"framework.":[169],"We":[170,190],"six":[172],"existing":[173],"fail":[182],"assign":[184],"appropriate":[185],"scores":[186,217],"visual":[188],"quality.":[189],"method":[194],"rank":[196],"relative":[198],"metrics,":[202],"through":[203],"competition":[205],"each":[208],"tries":[210],"find":[212],"errors":[214],"given":[218],"metrics.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
